Decoding Time Series with LLMs: A Multi-Agent Framework for Cross-Domain Annotation

Decoding Time Series with LLMs: A Multi-Agent Framework for Cross-Domain Annotation

22 October 2024

Xiang Zhang

Suhang Wang

Papers citing "Decoding Time Series with LLMs: A Multi-Agent Framework for Cross-Domain Annotation"

5 / 5 papers shown

Title
Rolling Forward: Enhancing LightGCN with Causal Graph Convolution for Credit Bond Recommendation Ashraf Ghiye Baptiste Barreau Laurent Carlier Michalis Vazirgiannis 76 0 0 18 Mar 2025
Multi-modal Time Series Analysis: A Tutorial and Survey Yushan Jiang Kanghui Ning Zijie Pan Xuyang Shen Jingchao Ni Wenchao Yu Anderson Schneider Haifeng Chen Yuriy Nevmyvaka Dongjin Song AI4TS 53 0 0 17 Mar 2025
Empowering Time Series Analysis with Synthetic Data: A Survey and Outlook in the Era of Foundation Models Xu Liu Taha Aksu Juncheng Liu Qingsong Wen Yuxuan Liang Caiming Xiong S. Doyen Sahoo Junnan Li Chenghao Liu AI4TS 40 0 0 14 Mar 2025
How Far are LLMs from Real Search? A Comprehensive Study on Efficiency, Completeness, and Inherent Capabilities M. Lin Hui Liu X. Tang Jingying Zeng Zhenwei Dai Chen Luo Zheng Li Xiang Zhang Qi He Suhang Wang OffRL LRM 36 0 0 25 Feb 2025
Stealing Training Graphs from Graph Neural Networks M. Lin Enyan Dai Junjie Xu Jinyuan Jia Xiang Zhang Suhang Wang DiffM 28 1 0 17 Nov 2024